| K-mean alignment for curve clustering LM Sangalli, P Secchi, S Vantini, V Vitelli Computational Statistics & Data Analysis 54 (5), 1219-1233, 2010 | 219 | 2010 |
| A Universal Kriging predictor for spatially dependent functional data of a Hilbert Space A Menafoglio, P Secchi, M Dalla Rosa | 166 | 2013 |
| A case study in exploratory functional data analysis: geometrical features of the internal carotid artery LM Sangalli, P Secchi, S Vantini, A Veneziani Journal of the American Statistical Association 104 (485), 37-48, 2009 | 165 | 2009 |
| Distances and inference for covariance operators D Pigoli, JAD Aston, IL Dryden, P Secchi Biometrika 101 (2), 409-422, 2014 | 157 | 2014 |
| A kriging approach based on Aitchison geometry for the characterization of particle-size curves in heterogeneous aquifers A Menafoglio, A Guadagnini, P Secchi Stochastic Environmental Research and Risk Assessment 28 (7), 1835-1851, 2014 | 101 | 2014 |
| Efficient estimation of three-dimensional curves and their derivatives by free-knot regression splines, applied to the analysis of inner carotid artery centrelines LM Sangalli, P Secchi, S Vantini, A Veneziani Journal of the Royal Statistical Society Series C: Applied Statistics 58 (3 …, 2009 | 86 | 2009 |
| Statistical analysis of complex and spatially dependent data: a review of object oriented spatial statistics A Menafoglio, P Secchi European journal of operational research 258 (2), 401-410, 2017 | 75 | 2017 |
| IFN-γ Produced by Human Papilloma Virus-18 E6-Specific CD4+ T Cells Predicts the Clinical Outcome after Surgery in Patients with High-Grade Cervical Lesions S Seresini, M Origoni, F Lillo, L Caputo, AM Paganoni, S Vantini, ... The Journal of Immunology 179 (10), 7176-7183, 2007 | 74 | 2007 |
| Profile monitoring of probability density functions via simplicial functional PCA with application to image data A Menafoglio, M Grasso, P Secchi, BM Colosimo Technometrics 60 (4), 497-510, 2018 | 71 | 2018 |
| Blood flow velocity field estimation via spatial regression with PDE penalization L Azzimonti, LM Sangalli, P Secchi, M Domanin, F Nobile Journal of the American Statistical Association 110 (511), 1057-1071, 2015 | 71 | 2015 |
| A randomly reinforced urn P Muliere, AM Paganoni, P Secchi Journal of Statistical Planning and Inference 136 (6), 1853-1874, 2006 | 68 | 2006 |
| Curve matching, a generalized framework for models/experiments comparison: An application to n-heptane combustion kinetic mechanisms MS Bernardi, M Pelucchi, A Stagni, LM Sangalli, A Cuoci, A Frassoldati, ... Combustion and Flame 168, 186-203, 2016 | 64 | 2016 |
| Bagging Voronoi classifiers for clustering spatial functional data P Secchi, S Vantini, V Vitelli International journal of applied earth observation and geoinformation 22, 53-64, 2013 | 63 | 2013 |
| Quantifying uncertainties in the estimation of safety parameters by using bootstrapped artificial neural networks P Secchi, E Zio, F Di Maio Annals of Nuclear Energy 35 (12), 2338-2350, 2008 | 63 | 2008 |
| Urn schemes and reinforced random walks P Muliere, P Secchi, SG Walker Stochastic processes and their applications 88 (1), 59-78, 2000 | 63 | 2000 |
| Bayesian nonparametric predictive inference and bootstrap techniques P Muliere, P Secchi Annals of the Institute of Statistical Mathematics 48 (4), 663-673, 1996 | 60 | 1996 |
| An integrated statistical investigation of internal carotid arteries of patients affected by cerebral aneurysms T Passerini, LM Sangalli, S Vantini, M Piccinelli, S Bacigaluppi, L Antiga, ... Cardiovascular Engineering and Technology 3 (1), 26-40, 2012 | 53 | 2012 |
| Analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan P Secchi, S Vantini, V Vitelli Statistical Methods & Applications 24 (2), 279-300, 2015 | 52 | 2015 |
| Functional clustering and alignment methods with applications LM Sangalli, P Secchi, S Vantini, V Vitelli Communications in Applied and Industrial Mathematics 1 (1), 205-224, 2010 | 48 | 2010 |
| Mixed finite elements for spatial regression with PDE penalization L Azzimonti, F Nobile, LM Sangalli, P Secchi SIAM/ASA Journal on Uncertainty Quantification 2 (1), 305-335, 2014 | 46 | 2014 |
Simone VantiniAssociate Professor of Statistics, MOX - Department of Mathematics, Politecnico di MilanoVerified email at polimi.it
